Complex character associated gene detection method and system based on summary statistical data

By using the combined Cauchy association test and gene expression weight weight analysis methods in the detection of complex trait association genes, the problems of low efficiency and high computational burden in the prior art are solved, and efficient and reliable gene identification and association analysis are achieved.

CN119694384AActive Publication Date: 2025-03-25NANJING MEDICAL UNIV
3 Cites 0 Cited by

Patent Information

Application Number
CN202411763900.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25
Estimated Expiration
2044-12-03

AI Technical Summary

Technical Problem

When using summary statistical data to perform complex trait-associated gene detection, the prior art is not efficient and has a high computational burden. The traditional methods mainly rely on personal genotype data, and the sample size is limited.

Method used

A complex trait-associated gene detection method based on summary statistics was used to analyze the association between genes and traits by combining Cauchy association test (ACAT), and weighted analysis was performed using gene expression weight data to generate a subset of gene-locus data for significance.

Benefits of technology

It realizes efficient and reliable gene recognition, significantly expands the scope of data application, reduces the computational burden, and improves the efficiency and accuracy of correlation analysis.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a complex character associated gene detection method and system based on summarized statistical data. According to the method, summarized statistical data and gene expression weight data of complex characters can be analyzed according to user-defined settings, and effective genetic information including a genetic variation site set in a gene range and a corresponding gene expression weight and a significance P value thereof is extracted from the summarized statistical data and the gene expression weight data. Based on the weights and the P values, combined Cauchy association test is applied, and genes obviously associated with the complex characters are identified. The invention innovatively provides a character associated gene detection method suitable for summarizing statistical data, so that the analysis range of the data is remarkably expanded, and the associated statistical efficiency is improved. Meanwhile, based on an analytical algorithm, the calculation efficiency of association testing is effectively improved, the calculation burden is reduced, and rapid and accurate recognition of complex character associated genes is achieved.
Need to check novelty before this filing date? Find Prior Art